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DOI10.1016/j.apenergy.2019.03.065
A novel approach for selecting typical hot-year (THY) weather data
Guo, Siyue1,2; Yan, Da1; Hong, Tianzhen3; Xiao, Chan4; Cui, Ying5
发表日期2019
ISSN0306-2619
EISSN1872-9118
卷号242页码:1634-1648
英文摘要

The global climate change has resulted in not only warmer climate conditions but also more frequent extreme weather events, such as heat waves. However, the impact of heat waves on the indoor environment has been investigated in a limited manner. In this research, the indoor thermal environment is analyzed using a building performance simulation tool for a typical residential building in multiple cities in China, over a time period of 60 years using actual measured weather data, in order to gain a better understanding of the effect of heat wave events. The simulation results were used to analyze the indoor environment during hot summers. A new kind of weather data referred to as the typical hot year was defined and selected based on the simulated indoor environment during heat waves. The typical hot-year weather data can be used to simulate the indoor environment during extreme heat events and for the evaluation of effective technologies and strategies to mitigate against the impact of heat waves on the energy demand of buildings and human health. The limitations of the current study and future work are also discussed.


WOS研究方向Energy & Fuels ; Engineering
来源期刊APPLIED ENERGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/97777
作者单位1.Tsinghua Univ, Sch Architecture, Beijing, Peoples R China;
2.Tsinghua Univ, Inst Energy Environm & Econ, Beijing, Peoples R China;
3.Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA;
4.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China;
5.Beijing Inst Architectural Design, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Guo, Siyue,Yan, Da,Hong, Tianzhen,et al. A novel approach for selecting typical hot-year (THY) weather data[J],2019,242:1634-1648.
APA Guo, Siyue,Yan, Da,Hong, Tianzhen,Xiao, Chan,&Cui, Ying.(2019).A novel approach for selecting typical hot-year (THY) weather data.APPLIED ENERGY,242,1634-1648.
MLA Guo, Siyue,et al."A novel approach for selecting typical hot-year (THY) weather data".APPLIED ENERGY 242(2019):1634-1648.
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